Srikanth Munaga

About Srikanth Munaga

I build AI products that actually work in the enterprise — not demos, but systems that scale.With 13+ years across SaaS, PaaS, and API-driven platforms, I\'ve spent the last chapter of my career at the intersection of AI and product. At Barndoor AI, I\'m building governance and control infrastructure for agentic AI — helping enterprises safely adopt LLMs, MCP servers, and multi-agent workflows without losing visibility or control.My technical foundation is real: I\'ve worked hands-on with REST APIs, GraphQL, JSON data pipelines, no-code platforms (Unqork), and cloud-native architectures. I understand what engineers are building and can translate that fluently into business outcomes — 30% faster claims processing,$500K in annual savings, 0-to-1 SaaS launches.What I bring to AI product work:Deep understanding of agentic architectures, MCP protocols, and LLM evaluation frameworks.Track record shipping API-first and data-intensive products in regulated industries (insurance, financial services, media).Ability to drive cross-functional alignment across eng, design, sales, and enterprise customers.Experience operating in both scrappy startups and large enterprises (DIRECTV, S&P Global, Reliance Matrix).I write about AI governance, multi-agent systems, and product thinking. If you\'re building or buying AI in the enterprise, let\'s connect.Specialties: AI Product Management · Agentic AI · LLM Governance · API Platform Strategy · 0-to-1 SaaS · Data Pipeline Products · Agile · Cross-functional Leadership

Experience

1. Founding Product Manager

   Barndoor Ai

   May 2025 — Present · Sunnyvale, CA, US

   Leading product at Barndoor AI, where we\'re building infrastructure-level governance for agentic AI — the control plane enterprises need to deploy AI safely at scale.My work spans the full product surface: MCP server policy enforcement, LLM access controls, multi-agent orchestration guardrails, audit logging, and enterprise integrations (SSO, RBAC, API gateways). I work closely with engineering on protocol-level decisions — translating complex agentic architectures into a product that security, compliance, and ops teams can actually use and trust.Key focus areas:• Defining the governance model for how enterprises connect, monitor, and control AI agents and tool calls• Shaping MCP server security standards and integration patterns across enterprise stacks• Driving 0-to-1 product decisions on observability, policy enforcement, and access control surfaces• Partnering with enterprise customers to surface real-world agentic risk scenarios and feed them into the roadmap

Education

• Jawaharlal Nehru Technological University, Anantapur

  Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering

  2006 — 2010

• Institute of Management Technology, Ghaziabad

  Post Graduate Diploma in Management, Sales, Marketing and Business Development

  2013 — 2015

Skills

• Manual Testing
• Google Adwords
• Business Strategy
• Quality Center
• Supply Chain Management
• Excel Models
• Statistical Data Analysis
• Project Management
• Test Automation
• Infographics
• Sales Management
• Product Management
• Hp Quality Center
• Tableau
• Statistical Modeling
• Market Research
• Marketing Analytics
• Qtp
• Digital Marketing
• Big Data
• Google Analytics
• Business Analytics
• Marketing Communications
• IT Strategy
• Operations Management
• Management Consulting
• Marketing Strategy